analyze_ad_video · Facebook Ads Library MCP Server MCP

WHAT IT DOES

What analyze_ad_video does on Facebook Ads Library MCP Server

AI agents invoke analyze_ad_video to trigger actions in Facebook Ads Library MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why analyze_ad_video needs a policy

This tool performs two actions: downloading video content from Facebook and running it through an external AI model (Gemini). This constitutes executing an external operation with side effects (network downloads, API calls to Gemini), placing it in the Execute category. Misuse could result in excessive API calls, bandwidth consumption, or unintended data processing, warranting medium severity.

From the tool's definition 'Download and analyze ad videos using Gemini' — the tool downloads external media and executes AI analysis via Gemini, triggering external operations beyond simple data retrieval.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_ad_video Rate-limited

analyze_ad_video stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_ad_video": {
      "limits": [
        {
          "counter": "analyze_ad_video_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Facebook Ads Library MCP Server, so you can run agents against it safely.

FAQ

Questions about analyze_ad_video

What does the analyze_ad_video tool do? +

REQUIRED for analyzing video ads from Facebook. Download and analyze ad videos using Gemini. It is categorised as a Execute tool in the Facebook Ads Library MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_ad_video? +

Register the Facebook Ads Library MCP Server MCP server in PolicyLayer and add a rule for analyze_ad_video: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Facebook Ads Library MCP Server. Nothing to install.

What risk level is analyze_ad_video? +

analyze_ad_video is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit analyze_ad_video? +

Yes. Add a rate_limit block to the analyze_ad_video rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block analyze_ad_video completely? +

Set action: deny in the PolicyLayer policy for analyze_ad_video. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides analyze_ad_video? +

analyze_ad_video is provided by the Facebook Ads Library MCP Server MCP server (proxy-intell/facebook-ads-library-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.